An artificial intelligence system was design to forecast the financial trading market and predict change based on observed variables from the business environment. A machine learning model is to be designed in understand and forecast trends based on Markov chain. The variables to be observed are • Population(A) • Poverty rate(B) • Inflation (C) Available resources(D) Theses variables can affect each other or impact upon one another. P. R2 PI P1 P2 P/ Pis Pus P- P1 P2 PA Ps Ps2 The matix P represent the general form of an state matrix. Below is a table of the variables with their effect on each other. А B с D A 0.1 0.1 0.1 0.7 B 0.2 0.3 0.2 0.3 с 0.3 0.4 0.1 0.2 D 0.4 0.2 0.2 0.2 Answer the following question below: a. Provide a general markov state diagram for the variable described. b. Assuming the below factor, A, affected the state in the table above, produce the state diagram for, A, and calculate the final state. 25 20 25 30 .20 30 25 30 A= 25 20.40.10 30 30.10.30 c. Discuss the significance of hidden markov chain in a historic data. An artificial intelligence system was design to forecast the financial trading market andpredict change based on observed variables from the business environment. A machinelearning model is to be designed in understand and forecast trends based on Markov chain.The variables to be observed arePopulation(A)Poverty rate(B)Inflation (C)Available resources(D)Theses variables can affect each other or impact upon one another.P PaP PaPisPhi .P=P...PsaPsjPs.sThe matix P represent the general form of an state matrix.Below is a table of the variables with their effect on each other.AВD.A0.10.10.10.7B0.20.30.20.30.30.40.10.2D0.40.20.20.2Answer the following question below:a. Provide a general markov state diagram for the variable described.b. Assuming the below factor, A, affected the state in the table above, produce the statediagram for, A, and calculate the final state.25 20 .25 .30.20 30 .25 .30A =25 20 .40 .1030 30 .10 .30c. Discuss the significance of hidden markov chain in a historic data.

The general Markov state diagram for the variable is as follows:

Answered: An artificial intelligence system was…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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An artificial intelligence system was design to forecast the financial trading market and predict change based on observed variables from the business environment. A machine learning model is to be designed in understand and forecast trends based on Markov chain. The variables to be observed are • Population(A) • Poverty rate(B) • Inflation (C) Available resources(D) Theses variables can affect each other or impact upon one another. P. R2 PI P1 P2 P/ Pis Pus P- P1 P2 PA Ps Ps2 The matix P represent the general form of an state matrix. Below is a table of the variables with their effect on each other. А B с D A 0.1 0.1 0.1 0.7 B 0.2 0.3 0.2 0.3 с 0.3 0.4 0.1 0.2 D 0.4 0.2 0.2 0.2 Answer the following question below: a. Provide a general markov state diagram for the variable described. b. Assuming the below factor, A, affected the state in the table above, produce the state diagram for, A, and calculate the final state. 25 20 25 30 .20 30 25 30 A= 25 20.40.10 30 30.10.30 c. Discuss the significance of hidden markov chain in a historic data.